Medical secretaries' level of job satisfaction in public hospitals: Antalya Atatürk State Hospital sample

Health workers have to serve and take care of the people who have problems. Due to the recent developments in health care industry, more attention is paid to patients' demands and satisfaction. Since both customer satisfaction phenomenon and qualified service view are acquired by heath workers, health workers begun to consider these concepts more sensitively. Hence the job satisfaction of the health workers that serve patients has become significant. The workers who have higher levels of job satisfaction provide more qualified service than the workers who have lower job satisfaction level. So the service from the second group of workers is considered as poor. Because of the service quality, job satisfaction fact has an immense importance for the workers who have more dialogues with the patients, namely medical secretaries. Job satisfaction is based on several factors such as the salary, working conditions, safety, social security, and the relationship with managers. When the group in question (Medical Secretaryship) is in a labor intensive service sector, the job dissatisfaction not only decreases the workers performances, but also damages the image of the enterprise. In this research, surveys are conducted on 156 medical secretaries who work in clinics, and services that are operated by a subcontractor in Antalya Ataturk State Hospital. During the data gathering process, conductors also considered the distinct personal features and working conditions of the workers. To measure the job satisfaction levels, Minnesota Job Satisfaction Scale and data collection form were used and the results were evaluated with SPSS 20.0 program. After the assessment; for one continuous and one intermittent variable analysis t test, to compare the average of more than two variables one way Anova test, to observe the variables that causes differences Post HocTukey test, and to investigate the relationship between one dependent variable and one or more independent variables regression analysis were used. Manova and factor analysis were utilized to examine the subdimensions of the scale. Lastly, the Pearson's Correlation analysis was used to determine the relationship between questions and subdimensions.